Tamil OCR engine using PARSeq and CRAFT
Project description
Yes, good catch! ✅ You need to have a README.md file in your project root before building the package. It's used as the long description for your PyPI page (what people see when they visit your package).
✍️ How to Create README.md
In your project root (E:\tamilocrx), create a new file named README.md and add something like:
# tamilocrx
`tamilocrx` is a Python package that extracts Tamil text from images using deep learning-based OCR models like **CRAFT** for text detection and **PARSeq** for recognition.
## 🚀 Features
- Detect and extract Tamil and English text
- Based on PyTorch, CRAFT, and PARSeq
- Easy to use with Gradio demo
## 🔧 Installation
```bash
pip install tamilocrx
🧪 Usage
from tamilocrx.ocr import OCR
ocr = OCR(detect=True, enable_cuda=False)
result = ocr.predict("path/to/image.jpg")
print(result)
📦 Model Files
parseq_tamil.pt– Tamil text recognition modelcraft_mlt_25k.pth– Text detection model
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